code: def metric_matrix_test_data(self):
      data = [
          dict(
              base_point=gs.array([0.5]),
              expected=gs.array([[4.0]]),
          ),
          dict(
              base_point=gs.array([[0.5], [0.2]]),
              expected=gs.array([[[4.0]], [[25.0]]]),
          ),
      ]
      return self.generate_tests(data)
  
file_path: geomstats/tests/tests_geomstats/test_information_geometry/data/exponential.py
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from ...test_geometry.data.base import VectorSpaceOpenSetTestData
  from ...test_geometry.data.riemannian_metric import RiemannianMetricTestData
  from .base import InformationManifoldMixinTestData
label_desc: Use image node_id 2 for calling the ExponentialMetricSmokeTestData obj's underlying member method code with example usage: obj.metric_matrix_test_data() and returns: self